<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.1 20151215//EN" "http://jats.nlm.nih.gov/publishing/1.1/JATS-journalpublishing1.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.1" specific-use="sps-1.9" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ijcs</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Cardiovascular Sciences</journal-title>
        <abbrev-journal-title abbrev-type="publisher">Int. J. Cardiovasc. Sci.</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">2359-4802</issn>
      <issn pub-type="epub">2359-5647</issn>
      <publisher>
        <publisher-name>Sociedade Brasileira de Cardiologia</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id specific-use="scielo-v3" pub-id-type="publisher-id">ZVp3mjJ5RQZwsH8qznk6TTC</article-id>
      <article-id specific-use="previous-pid" pub-id-type="publisher-id">S2359-56472022005002205</article-id>
      <article-id specific-use="scielo-v2" pub-id-type="publisher-id">S2359-56472022000400488</article-id>
      <article-id pub-id-type="publisher-id">ijcs.20200406</article-id>
      <article-id pub-id-type="doi">10.36660/ijcs.20200406</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Mortality from Cardiovascular Diseases: A Comparative Analysis between the Medical and Non-Medical Populations in Brazil</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-1024-7587</contrib-id>
          <name>
            <surname>Matos</surname>
            <given-names>Giulia Guimar&#227;es</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
          <xref ref-type="corresp" rid="c1"/>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-9087-2448</contrib-id>
          <name>
            <surname>Pacheco</surname>
            <given-names>Roberta Luise Carrilho Bittencourt</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0003-2881-7402</contrib-id>
          <name>
            <surname>Magalh&#227;es</surname>
            <given-names>Luc&#233;lia Batista Neves Cunha</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0002-2179-3893</contrib-id>
          <name>
            <surname>Avena</surname>
            <given-names>Katia de Miranda</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">
            <sup>1</sup>
          </xref>
        </contrib>
        <aff id="aff1">
          <label>1</label>
          <institution content-type="orgname">Centro Universit&#225;rio de Tecnologia e Ci&#234;ncias</institution>
          <addr-line>
            <named-content content-type="city">Salvador</named-content>
            <named-content content-type="state">BA</named-content>
          </addr-line>
          <country country="BR">Brazil</country>
          <institution content-type="original">Centro Universit&#225;rio de Tecnologia e Ci&#234;ncias (UNIFTC), Salvador, BA &#8211; Brazil</institution>
        </aff>
      </contrib-group>
      <author-notes>
        <corresp id="c1"><bold>Mailing Address: Luc&#233;lia Batista Neves Cunha Magalh&#227;es</bold> Centro Universit&#225;rio de Tecnologia e Ci&#234;ncias (UNIFTC) - Medicina Av. Luis Viana Filho, 8812. Postal Code: <postal-code>41741-590</postal-code> , Paralela, Salvador, BA &#8211; Brazil. E-mail: <email>luceliamagalhaes@terra.com.br".</email> </corresp>
        <fn fn-type="con">
          <p>
            <bold>Author contributions</bold>
          </p>
          <p>Conception and design of the research: Matos GG, Pacheco RLCB, Magalh&#227;es LBNC, Avena KM. Acquisition of data: Matos GG, Pacheco RLCB. Analysis and interpretation of the data: Matos GG, Pacheco RLCB, Magalh&#227;es LBNC, Avena KM. Writing of the manuscript: Matos GG, Pacheco RLCB, Magalh&#227;es LBNC, Avena KM. Critical revision of the manuscript for intellectual content: Matos GG, Pacheco RLCB, Magalh&#227;es LBNC, Avena KM.</p>
        </fn>
        <fn fn-type="conflict">
          <p>
            <bold>Potential Conflict of Interest</bold>
          </p>
          <p>No potential conflict of interest relevant to this article was reported.</p>
        </fn>
      </author-notes>
      <pub-date date-type="pub" publication-format="electronic">
        <day>25</day>
        <month>02</month>
        <year>2022</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2022</year>
      </pub-date>
      <volume>35</volume>
      <issue>4</issue>
      <fpage>488</fpage>
      <lpage>497</lpage>
      <history>
        <date date-type="received">
          <day>18</day>
          <month>12</month>
          <year>2020</year>
        </date>
        <date date-type="accepted">
          <day>27</day>
          <month>11</month>
          <year>2021</year>
        </date>
        <date date-type="rev-recd">
          <day>24</day>
          <month>05</month>
          <year>2021</year>
        </date>
      </history>
      <permissions>
        <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/" xml:lang="en">
          <license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
        </license>
      </permissions>
      <abstract>
        <title>Abstract</title>
        <sec>
          <title>Background:</title>
          <p>Cardiovascular disease (CVD) is the leading cause of death worldwide, including among physicians. Professional peculiarities increase cardiovascular risk in this population, making it relevant to analyze mortality in the medical population (MPop) and non-medical population (NMPop).</p>
        </sec>
        <sec>
          <title>Objectives:</title>
          <p>To compare the CVD mortality coefficient (MC) in between MPop and NMPop in Brazil by analyzing the epidemiological profile and the main causes of deaths from CVD.</p>
        </sec>
        <sec>
          <title>Methods:</title>
          <p>Time-series study with data obtained from the Mortality Information System of the Federal Council of Medicine and the Brazilian Institute of Geography and Statistics, from 2014 to 2018. The variables age group, sex, race, occupation, and CVD that caused the death were assessed in MPop and NMPop. MC, relative risk and odds ratio between the populations were calculated. Tests for difference in proportions, with approximation to the normal distribution, and chi-squared tests were performed, assuming p&lt;0.01 as statistically significant.</p>
        </sec>
        <sec>
          <title>Results:</title>
          <p>Both MPop and NMPop had a predominance of men (86.7% and 52.3%), senior citizens (85.9% and 79.7%) and white individuals (86.4% and 52.2%). The MCs of the MPop and NMPop was 92.2 and 255.1 deaths/100,000 individuals, respectively. The main cause of death was acute myocardial infarction (AMI) (32.5% and 24.6% in MPop and NMPop, respectively) followed by cerebrovascular accident (CVA) (5.1% and 10.5% in MPop and NMPop, respectively).</p>
        </sec>
        <sec>
          <title>Conclusion:</title>
          <p>In Brazil, mortality from CVD was more prevalent in white elderly males, and mainly caused by AMI and CVA. Being a doctor, man and over 60 years old represents a greater chance of death from CVD in comparison with non-physicians.</p>
        </sec>
      </abstract>
      <kwd-group xml:lang="en">
        <title>Keywords:</title>
        <kwd>Cardiovascular Diseases/physiopathology</kwd>
        <kwd>Mortality</kwd>
        <kwd>Epidemiology</kwd>
        <kwd>Physicians/statistics &amp;numerical data</kwd>
        <kwd>Non-Physicians/statistics &amp; numerical data</kwd>
        <kwd>Brazil</kwd>
      </kwd-group>
      <counts>
        <fig-count count="3"/>
        <table-count count="4"/>
        <equation-count count="0"/>
        <ref-count count="22"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>Introduction</title>
      <p>The morbidity and mortality statistics of a population are of great relevance in helping to understand its demographic profile. Among them, the most important variable is cause of death,<sup><xref ref-type="bibr" rid="B1">1</xref></sup> as it is the final outcome of life, besides allowing monitoring the health/disease situation, such as early mortality and its main determining factors.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> This information is important for the development of action plans and proper allocation of resources.<sup><xref ref-type="bibr" rid="B3">3</xref></sup></p>
      <p>Physicians&#8217; health status, like of the general population, can be estimated by analyzing mortality data. This has received considerable attention in the last 50 years; for example, the Federal Council of Medicine (CFM, <italic>Conselho Federal de Medicina</italic> ) has conducted studies on physicians&#8217; working conditions interfere with their life and health.<sup><xref ref-type="bibr" rid="B1">1</xref> , <xref ref-type="bibr" rid="B4">4</xref></sup></p>
      <p>It is possible that a greater knowledge about health, as well as the occupation of professionals in more privileged situations and at higher socioeconomic levels, represented by the medical population (MPop), are factors that contribute to lower mortality compared to the non-medical population (NMPop). On the other hand, high degree of stress, long working hours, the expectation of maintaining a high standard of living, high exposure to ionizing radiation and contaminated biological materials, in addition to a delay to seek treatment when ill, are factors that can increase morbidity and mortality rates among physicians.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Associated with this, just as in the general population, the mortality profile is also influenced by the lifestyle of these professionals,<sup><xref ref-type="bibr" rid="B3">3</xref></sup> such as diet, exercise, sleep habits, tobacco smoking, and alcohol consumption.<sup><xref ref-type="bibr" rid="B5">5</xref></sup> In this way, it is possible to ascertain whether physicians apply to their own lives health concepts learned in their training<sup><xref ref-type="bibr" rid="B1">1</xref></sup> that they should pass on to their patients.</p>
      <p>Prospective epidemiological studies have shown that the presence of certain behavioral risk factors including tobacco smoking, unhealthy diet, sedentary lifestyle, alcoholism, and psycho-emotional stress<sup><xref ref-type="bibr" rid="B6">6</xref></sup> increases the probability of clinical cardiovascular disease (CVD)<sup><xref ref-type="bibr" rid="B7">7</xref></sup> . These factors are associated with increased risk for cardiovascular complications, such as acute myocardial infarction (AMI), cerebrovascular accident (CVA), and heart failure (HF).<sup><xref ref-type="bibr" rid="B8">8</xref></sup> On the other hand, regular exercise, along with adequate eating habits, weight control, and not smoking, are preventive factors for these CVDs, that can contribute to the monitoring and even controlling of patients with coronary artery disease (CAD).<sup><xref ref-type="bibr" rid="B9">9</xref></sup></p>
      <p>According to the Pan American Health Organization (PAHO) and the World Health Organization (WHO), the main causes of global death in the last 15 years are CVA and ischemic heart disease, accounting for 15,2 million deaths in 2016.<sup><xref ref-type="bibr" rid="B9">9</xref> , <xref ref-type="bibr" rid="B10">10</xref></sup> Thus, CVD is considered the leading cause of death in the world<sup><xref ref-type="bibr" rid="B3">3</xref> , <xref ref-type="bibr" rid="B8">8</xref> , <xref ref-type="bibr" rid="B9">9</xref></sup> and can be avoided prevented through early diagnosis and treatment and health promotion.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> In Brazil, 29.4% of the deaths reported per year are caused by CVD, such as CVA and AMI. As a result, Brazil is among the 10 countries with the highest rate of death from CVD.<sup><xref ref-type="bibr" rid="B9">9</xref></sup></p>
      <p>This fact can also be observed in the medical population; a study conducted in the state of S&#227;o Paulo, Brazil, showed that diseases of the circulatory system were the main cause of death among physicians, with CAD being responsible for 30.1% of deaths in 2001.<sup><xref ref-type="bibr" rid="B3">3</xref></sup> In the state of Bahia, a study carried out in 2019 showed that the three main causes of death in the medical population were diseases of the circulatory system (28%), neoplasms (27%), and external causes (12%), similarly to other studies conducted in the country.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
      <p>Thus, due to a lack of data on medical mortality from CVD in Brazil, the present study aimed to evaluate this issue, in addition to describing the epidemiological profile, identifying the main causes of mortality, and estimating the CVD mortality coefficient in the Brazilian MPop and NMPop.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>This is an epidemiological, observational, time-series study with an analytical approach, using secondary data obtained from the Mortality Information System (SIM, <italic>Sistema de Informa&#231;&#227;o de Mortalidade</italic> ) of the CFM and the Brazilian Institute of Geography and Statistics (IBGE, <italic>Instituto Brasileiro de Geografia e Estat&#237;stica</italic> ).<sup><xref ref-type="bibr" rid="B12">12</xref> , <xref ref-type="bibr" rid="B13">13</xref></sup></p>
      <p>Data were collected from Death Certificates (DCs) referring to CVD, of physicians living in Brazil and of the general population between 2014 and 2018. Individuals under 20 years of age were excluded so that a factor of comparability between the groups could be maintained, and because younger age groups are characterized by cardiovascular diagnoses that are not the object of this study.</p>
      <p>The variables of interest were: age group (categorized every 10 years, as of 20 years old on), sex (stratified as male, female, ignored), race (white, black, yellow, brown, indigenous, ignored),<sup><xref ref-type="bibr" rid="B14">14</xref> , <xref ref-type="bibr" rid="B15">15</xref></sup> year of death (2014 to 2018), occupation (classified as medical and non-medical), and the CVD that caused the death, according to the International Classification of Diseases and Related Health Problems (ICD-10)<sup><xref ref-type="bibr" rid="B14">14</xref> , <xref ref-type="bibr" rid="B15">15</xref></sup> ( <xref ref-type="table" rid="t1">Table 1</xref> ).</p>
      <table-wrap id="t1">
        <label>Table 1</label>
        <caption>
          <title>List of the International Classification of Diseases (ICD-10) codes for cardiovascular diseases used for data collection</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="50%">
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#BCBDC0;">
              <th align="left" valign="middle">Alphabetical order</th>
              <th align="center" valign="middle">ICD-10</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" valign="middle">A</td>
              <td align="center" valign="middle">A520</td>
            </tr>
            <tr>
              <td align="left" valign="middle">B</td>
              <td align="center" valign="middle">B332, B570, B376, B572</td>
            </tr>
            <tr>
              <td align="left" valign="middle">C</td>
              <td align="center" valign="middle">C380, C381, C382, C383, C388, C452</td>
            </tr>
            <tr>
              <td align="left" valign="middle">D</td>
              <td align="center" valign="middle">D151</td>
            </tr>
            <tr>
              <td align="left" valign="middle">F</td>
              <td align="center" valign="middle">F011</td>
            </tr>
            <tr>
              <td align="left" valign="middle">G</td>
              <td align="center" valign="middle">G932</td>
            </tr>
            <tr>
              <td align="left" valign="middle">I</td>
              <td align="center" valign="middle">I00, I010, I011, I012, I018, I019, I020, I050, I051, I052, I058, I059, I060, I061, I062, I068, I069, I070, I071, I072, I078, I079, I080, I081, I082, I083, I088, I089, I090, I091, I092, I098, I099, I10, I110, I119, I120, I129, I130, I131, I132, I139, I200, I201, I208, I209, I210, I211, I212, I213, I214, I219, I220, I221, I228, I229, I238, I241, I248, I249, I250, I251, I252, I253, I254, I255, I256, I258, I259, I260, I269, I270, I271, I278, I279, I280, I281, I288, I289, I300, I301, I308, I309, I310, I311, I312, I313, 7I318, I319, I330, I339, I340, I341, I342, I348, I349, I350, I351, I352, I358, I359, I360, I361, I362, I368, I369, I370, I371, I372, I378, I379, I38, I400, I401, I408, I409, I420, I421, I422, I423, I424, I425, I426, I427, I428, I429, I440, I441, I442, I443, I444, I445, I446, I447, I450, I451, I452, I453, I454, I455, I456, I458, I459, I461, I469, I470, I471, I472, I479, I48, I490, I491, I492, I493, I494, I495, I498, I499, I500, I501, I509, I510, I511, I512, I513, I514, I515, I516, I517, I518, I519, I600, I601, I602, I603, I604, I605, I606, I607, I608, I609, I610, I611, I612, I613, I614, I615, I616, I618, I619, I620, I621, I629, I630, I631, I632, I633, I634, I635, I636, I638, I639, I64, I670, I671, I672, I673, I674, I675, I676, I677, I678, I679, I690, I691, I692, I693, I694, I698, I700, I701, I702, I708, I709, I710, I711, I712, I713, I714, I715, I716, I718, I719, I720, I721, I722, I723, I724, I728, I729, I730, I731, I738, I739, I740, I741, I742, I743, I744, I745, I748, I749, I770, I771, I772, I773, I774, I775, I776, I778, I779, I780, I781, I788, I789, I800, I801, I802, I803, I808, I809, I81, I820, I821, I822, I823, I828, I829, I830, I831, I832, I839, I840, I841, I842, I843, I844, I845, I846, I847, I848, I849, I850, I859, I860, I861, I862, I863, I864, I868, I870, I871, I872, I878, I879, I880, I881, I888, I889, I890, I891, I898, I899, I950, I951, I952, I958, I959, I99</td>
            </tr>
            <tr>
              <td align="left" valign="middle">K</td>
              <td align="center" valign="middle">K763, K766</td>
            </tr>
            <tr>
              <td align="left" valign="middle">M</td>
              <td align="center" valign="middle">M311, M622, M314</td>
            </tr>
            <tr>
              <td align="left" valign="middle">N</td>
              <td align="center" valign="middle">N280</td>
            </tr>
            <tr>
              <td align="left" valign="middle">O</td>
              <td align="center" valign="middle">O100, O101, O102, O103, O109, O11, O13, O140, O141, O149, O150, O151, O152, O159, O16, O223, O225, O265, O870, O871, O873, O903</td>
            </tr>
            <tr>
              <td align="left" valign="middle">P</td>
              <td align="center" valign="middle">P290, P291, P299</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Q</td>
              <td align="center" valign="middle">Q200, Q201, Q202, Q203, Q204, Q205, Q206, Q208, Q209, Q210, Q211, Q212, Q213, Q214, Q218, Q219, Q220, Q221, Q222, Q223, Q224, Q225, Q226, Q228, Q229, Q230, Q231, Q232, Q233, Q234, Q238, Q239, Q240, Q242, Q243, Q244, Q245, Q246, Q248, Q249, Q250, Q251, Q253, Q254, Q255, Q256, Q257, Q259, Q260, Q261, Q266, Q268, Q269, Q270, Q271, Q273, Q278, Q279, Q280, Q281, Q282, Q283, Q288, Q289</td>
            </tr>
            <tr>
              <td align="left" valign="middle">R</td>
              <td align="center" valign="middle">R000, R001, R002, R008, R010,R011, R012, R02, R030, R031, R040, R041, R042, R048, R049, R05, R060, R061, R062, R064, R066, R068, R070, R071, R072, R073, R074, R090, R091, R092, R093, R098, R570, R931</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Y</td>
              <td align="center" valign="middle">Y840, Y520, Y527, Y529, Y522, Y625</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN1">
            <p>Source: SIM/DATASUS, 2020.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>The cause of death was determined based on the causes reported in the DCs and the ICD-10 codes, and for this reason, similar pathologies can be described separately. For instance, ICD I25.1, which represents atherosclerotic heart disease, refers to a chronic ischemic disease (such as atheroma, atherosclerosis, sclerosis) of the coronary artery, while ICD I21.9, which represents unspecified AMI, relates to an acute event of the heart as cause of death.</p>
      <sec>
        <title>Statistical analysis</title>
        <p>The populations of interest were grouped into MPop and NMPop. To determine the number of non-physicians, an estimate was calculated by subtracting the total number of physicians registered in the CFM, considering both active (whose registration was regular, inoperative, partially suspended, or those with partial interdiction) and not active professionals (transferred, retired, total interdiction or whose registrations were cancelled, nullified, or suspended) from the Brazilian population in that given year.<sup><xref ref-type="bibr" rid="B12">12</xref> , <xref ref-type="bibr" rid="B13">13</xref></sup></p>
        <p>For data analysis, the R software, version 3.6.3, was used. Categorical variables were expressed as absolute and relative frequencies. The mortality coefficient was estimated considering the total number of deaths per year for every 100,000 individuals and standardized for age to eliminate the effects of age variation on comparisons.</p>
        <p>Statistical analysis was made by means of statistical tests, using odds ratios and measures of association between exposure and outcome. For comparisons between the two groups (MPop and NMPop), a test for comparing proportions with approximation to normal distribution was employed. The inexistence of difference between the proportions was defined as null hypothesis (H0), and the existence of difference, as alternative hypothesis (H1). The odds ratio between the two populations was calculated, and to analyze the relationship between the variables, the contingency coefficients were measured using the chi-squared test. All p values lower than 1% (0.01)<sup><xref ref-type="bibr" rid="B16">16</xref> , <xref ref-type="bibr" rid="B17">17</xref></sup> were considered statistically significant.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>From 2014 to 2018, 2,103 deaths of physicians and 1,819,079 of non-medical individuals due to CVD were recorded in Brazil.</p>
      <p>As for deaths by sex, there was a predominance of males in both groups, with 86.7% of men in the MPop and 52.3% in the NMPop, with a statistically significant difference between the sexes ( <xref ref-type="table" rid="t2">Table 2</xref> ). Analyzing the odds ratio of deaths from CVD, considering sex and groups, male physicians were found to be more likely to die from CVD [OR 1.72 (95%CI 1.49-1.98)] compared to men who were not doctors [OR 0.58 (95%CI 0.50-0.67)] (p&lt;0.01).</p>
      <table-wrap id="t2">
        <label>Table 2</label>
        <caption>
          <title>Frequency of deaths from cardiovascular among physicians and non-physicians in Brazil from 2014 to 2018 by sex, age group and race</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="24%">
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#BCBDC0;">
              <th align="left" rowspan="2" valign="middle">Variables</th>
              <th align="center" valign="middle">Physicians</th>
              <th align="center" valign="middle">Non-physicians</th>
              <th align="center" rowspan="2" valign="middle">p- <italic>value</italic><xref ref-type="table-fn" rid="TFN2">*</xref> </th>
            </tr>
            <tr style="background-color:#BCBDC0;">
              <th align="center" valign="middle">(n=2,103)</th>
              <th align="center" valign="middle">(n=1,819,079)</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="4" valign="middle">
                <bold>Sex, n (%)</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">Male</td>
              <td align="center" valign="middle">1,824 (86.7)</td>
              <td align="center" valign="middle">952,271 (52.3)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Female</td>
              <td align="center" valign="middle">279 (13.3)</td>
              <td align="center" valign="middle">866,601 (47.6)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Ignored</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">207 (0.1)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" colspan="4" valign="middle">
                <bold>Age group, n (%)</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">20-29</td>
              <td align="center" valign="middle">11 (0.5)</td>
              <td align="center" valign="middle">15,022 (0.8)</td>
              <td align="center" valign="middle">0.16</td>
            </tr>
            <tr>
              <td align="left" valign="middle">30-39</td>
              <td align="center" valign="middle">37 (1.8)</td>
              <td align="center" valign="middle">38,882 (2.1)</td>
              <td align="center" valign="middle">0.26</td>
            </tr>
            <tr>
              <td align="left" valign="middle">40-49</td>
              <td align="center" valign="middle">72 (3.4)</td>
              <td align="center" valign="middle">98,958 (5.4)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">50-59</td>
              <td align="center" valign="middle">177 (8.4)</td>
              <td align="center" valign="middle">217,006 (11.9)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">60-69</td>
              <td align="center" valign="middle">543 (25.8)</td>
              <td align="center" valign="middle">355,555 (19.5)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">70-79</td>
              <td align="center" valign="middle">504 (24.0)</td>
              <td align="center" valign="middle">457,615 (25.2)</td>
              <td align="center" valign="middle">0.22</td>
            </tr>
            <tr>
              <td align="left" valign="middle">&gt;=80</td>
              <td align="center" valign="middle">759 (36.1)</td>
              <td align="center" valign="middle">636,041 (35.1)</td>
              <td align="center" valign="middle">0.29</td>
            </tr>
            <tr>
              <td align="left" colspan="4" valign="middle">
                <bold>Race, n (%)</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">Yellow</td>
              <td align="center" valign="middle">35 (1.7)</td>
              <td align="center" valign="middle">10,747 (0.6)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">White</td>
              <td align="center" valign="middle">1,818 (86.4)</td>
              <td align="center" valign="middle">950,399 (52.2)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Black</td>
              <td align="center" valign="middle">29 (1.4)</td>
              <td align="center" valign="middle">153,828 (8.5)m</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Brown</td>
              <td align="center" valign="middle">180 (8.6)</td>
              <td align="center" valign="middle">638,586 (35.1)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Indigenous</td>
              <td align="center" valign="middle">-</td>
              <td align="center" valign="middle">3,378 (0.2)</td>
              <td align="center" valign="middle">-</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Ignored</td>
              <td align="center" valign="middle">41 (1.9)</td>
              <td align="center" valign="middle">62,141 (3.4)</td>
              <td align="center" valign="middle">&lt;0.01</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN2">
            <label>*</label>
            <p>Test for comparing proportions with approximation by normal distribution</p>
          </fn>
          <fn id="TFN3">
            <p>Source: SIM/DATASUS, 2020.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>With regard to deaths by age group ( <xref ref-type="fig" rid="f1">Figure 1</xref> , <xref ref-type="table" rid="t2">Table 2</xref> ), a higher mortality from CVD was observed among elderly people, accounting for 85.9% and 79.7% of all deaths among physicians and non-physicians, respectively. Among the age groups that represent senior citizens, there was a statistically significant difference in the age group from 60 to 69 years, with a higher number of deaths from CVD in the medical population (25.8% vs. 19.5%, p&lt;0.01) ( <xref ref-type="table" rid="t2">Table 2</xref> ).</p>
      <fig id="f1">
        <label>Figure 1</label>
        <caption>
          <title>Deaths from cardiovascular disease among Brazilian physicians and non-physicians between 2014 and 2018 by age groups.</title>
        </caption>
        <attrib>Source: SIM/DATASUS, 2020</attrib>
        <graphic xlink:href="2359-5647-ijcs-35-04-0488-00406-gf01.tif"/></fig>
      <p>Concerning the other age groups, the proportions of deaths from CVD in the groups 40-49 years, and 50-59 years were statistically higher in the NMPop than in the MPop (3.4% vs. 5.4%, p=0.01; and 8.4% vs. 11.9%, p&lt;0.01; respectively). Analyzing the odds ratio of death from CVD, considering sex and groups, male physicians aged 60 or older were found to be more likely to die from CVD [OR 1.64 (95%CI 1.43-1.89)] compared to men who were not doctors [OR 0.60 (95%CI 0.52-0.70)] (p&lt;0.01).</p>
      <p>Considering the deaths from CVD by race, there was a predominance of white people in both MPop and NMPop (86.4% and 52.2%, respectively, p&lt;0.01). In addition, statistically significant differences were observed in the proportion of deaths from CVD between physicians and non-physicians of other races ( <xref ref-type="table" rid="t2">Table 2</xref> ). As for the odds ratio of deaths from CVD, considering race and groups, no differences were found between physicians and non-physicians (p=0.6308).</p>
      <p>A dependence (albeit weak) was detected between the variables in all crossings, except between race and sex in the MPop ( <xref ref-type="table" rid="t3">Table 3</xref> ).</p>
      <table-wrap id="t3">
        <label>Table 3</label>
        <caption>
          <title>Contingency coefficients among physicians and non-physicians in Brazil from 2014 to 2018, considering the &#8220;Age Group x Sex&#8221;, &#8220;Age Group x Race&#8221;, and &#8220;Race x Sex&#8221; crossings</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="25%">
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#BCBDC0;">
              <th align="center" valign="middle">Occupation</th>
              <th align="center" valign="middle">Crossing</th>
              <th align="center" valign="middle">Contingency Coefficient</th>
              <th align="center" valign="middle">p- <italic>value</italic><xref ref-type="table-fn" rid="TFN4">*</xref> </th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" rowspan="3" valign="middle">Physicians</td>
              <td align="center" valign="middle">Group x Sex</td>
              <td align="center" valign="middle">0.18</td>
              <td align="center" valign="middle">&lt;0.001</td>
            </tr>
            <tr>
              <td align="center" valign="middle">Group x Race</td>
              <td align="center" valign="middle">0.17</td>
              <td align="center" valign="middle">&lt;0.001</td>
            </tr>
            <tr>
              <td align="center" valign="middle">Race x Sex</td>
              <td align="center" valign="middle">0.03</td>
              <td align="center" valign="middle">0.67</td>
            </tr>
            <tr>
              <td align="left" rowspan="3" valign="middle">Non-physicians</td>
              <td align="center" valign="middle">Group x Sex</td>
              <td align="center" valign="middle">0.17</td>
              <td align="center" valign="middle">&lt;0.001</td>
            </tr>
            <tr>
              <td align="center" valign="middle">Group x Race</td>
              <td align="center" valign="middle">0.14</td>
              <td align="center" valign="middle">&lt;0.001</td>
            </tr>
            <tr>
              <td align="center" valign="middle">Race x Sex</td>
              <td align="center" valign="middle">0.06</td>
              <td align="center" valign="middle">&lt;0.001</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="TFN4">
            <label>*</label>
            <p>Chi-squared test for assumption of independence</p>
          </fn>
          <fn id="TFN5">
            <p>Source: SIM/DATASUS, 2020.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <p>In addition, from 2014 to 2018, the mortality coefficient of the MPop and NMPop was 92.2 deaths/100,000 individuals and 255.1 deaths/100,000 individuals, respectively. The CVD mortality coefficient in the MPop and NMPop, calculated year by year, is shown in <xref ref-type="fig" rid="f2">Figure 2</xref> . No significant variation was found in the mortality coefficients in both populations over the years. However, the MPop had lower CVD mortality rates compared to the NMPop in all years.</p>
      <fig id="f2">
        <label>Figure 2</label>
        <caption>
          <title>Coefficient of mortality from cardiovascular disease (per 100,000 individuals) among Brazilian physicians and non.physicians between 2014 and 2018.</title>
        </caption>
        <attrib>Source: SIM/DATASUS, 2020</attrib>
        <graphic xlink:href="2359-5647-ijcs-35-04-0488-00406-gf02.tif"/></fig>
      <p>A year-by-year analysis revealed that the highest mortality coefficient was observed in the NMPop in 2016 &#8211; 261.2 deaths/100,000 individuals. Among physicians the highest mortality rate was observed in 2015, 100.7 deaths/100,000 individuals.</p>
      <p><xref ref-type="fig" rid="f3">Figure 3</xref> displays the main causes of death from CVD (according to ICD-10) between 2014 and 2018. The main cause of death was AMI (ICD I21.9) in both populations, accounting for 32.5% of deaths among physicians and 24.6% among non-physicians. CVA (ICD I64) ranked second in both populations, with 5.1% of deaths among physicians, and 10.5% among non-physicians. The third main cause of death was Atherosclerotic Heart Disease (ICD I25.1) in the MPop and Essential Hypertension (ICD I10) in the NMPop.</p>
      <fig id="f3">
        <label>Figure 3</label>
        <caption>
          <title>Relative frequencies of the main causes of deaths from cardiovascular diseases among Brazilian physicians and non.physicians between 2014 and 2018, coded according to the International Classification of Diseases (ICD-10).</title>
        </caption>
        <attrib>Source: SIM/DATASUS, 2020</attrib>
        <graphic xlink:href="2359-5647-ijcs-35-04-0488-00406-gf03.tif"/></fig>
      <p><xref ref-type="table" rid="t4">Table 4</xref> presents the mortality rate standardized for age and sex in the MPop and NMPop populations.</p>
      <table-wrap id="t4">
        <label>Table 4</label>
        <caption>
          <title>Age- and sex-standardized mortality rate among physicians and non-physicians in Brazil from 2014 to 2018</title>
        </caption>
        <table frame="hsides" rules="rows">
          <colgroup width="25%">
            <col/>
            <col/>
            <col/>
            <col/>
          </colgroup>
          <thead style="border-top: thin solid; border-bottom: thin solid; border-color: #000000">
            <tr style="background-color:#BCBDC0;">
              <th align="left" rowspan="2" valign="middle">Variable</th>
              <th align="center" valign="middle">Physicians</th>
              <th align="center" valign="middle">Non-physicians</th>
              <th align="center" rowspan="2" valign="middle">Variation (a/b)%</th>
            </tr>
            <tr style="background-color:#BCBDC0;">
              <th align="left" valign="middle">Rate (100,000)</th>
              <th align="center" valign="middle">Rate (100,000)</th>
            </tr>
          </thead>
          <tbody style="border-bottom: thin solid; border-color: #000000">
            <tr>
              <td align="left" colspan="4" valign="middle">
                <bold>Sex</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">Male</td>
              <td align="center" valign="middle">872.99</td>
              <td align="center" valign="middle">155.42</td>
              <td align="center" valign="middle">461.7</td>
            </tr>
            <tr>
              <td align="left" valign="middle">Female</td>
              <td align="center" valign="middle">147.40</td>
              <td align="center" valign="middle">1,309.82</td>
              <td align="center" valign="middle">-88.7</td>
            </tr>
            <tr>
              <td align="left" colspan="4" valign="middle">
                <bold>Age group</bold>
              </td>
            </tr>
            <tr>
              <td align="left" valign="middle">20-29</td>
              <td align="center" valign="middle">191.77</td>
              <td align="center" valign="middle">26.82</td>
              <td align="center" valign="middle">615.1</td>
            </tr>
            <tr>
              <td align="left" valign="middle">30-39</td>
              <td align="center" valign="middle">29.63</td>
              <td align="center" valign="middle">69.56</td>
              <td align="center" valign="middle">-57.4</td>
            </tr>
            <tr>
              <td align="left" valign="middle">40-49</td>
              <td align="center" valign="middle">91.38</td>
              <td align="center" valign="middle">176.88</td>
              <td align="center" valign="middle">-48.3</td>
            </tr>
            <tr>
              <td align="left" valign="middle">50-59</td>
              <td align="center" valign="middle">455.65</td>
              <td align="center" valign="middle">38.76</td>
              <td align="center" valign="middle">1,075.6</td>
            </tr>
            <tr>
              <td align="left" valign="middle">60-69</td>
              <td align="center" valign="middle">805.10</td>
              <td align="center" valign="middle">63.54</td>
              <td align="center" valign="middle">1,167.1</td>
            </tr>
            <tr>
              <td align="left" valign="middle">&gt;=70</td>
              <td align="center" valign="middle">7,488.88</td>
              <td align="center" valign="middle">195.27</td>
              <td align="center" valign="middle">3,735.2</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Analyzing the distribution of deaths by sex, mortality from CVD was found to be 6.5 times higher among male physicians than female physicians. The predominance of death in males can be explained by the higher prevalence of men in the medical field, which is associated with a history of greater carelessness on their part with their own health.<sup><xref ref-type="bibr" rid="B11">11</xref></sup> This finding corroborates other studies on medical mortality in Brazil. Dantas et al.,<sup><xref ref-type="bibr" rid="B11">11</xref></sup> analyzed the mortality of physicians in the state of Bahia from 2008 to 2017 and showed that 84% of all deaths were of men, with CVD as the most prevalent cause. The Regional Council of Medicine of the state of S&#227;o Paulo,<sup><xref ref-type="bibr" rid="B3">3</xref></sup> when investigating trends in the mortality of physicians from 2000 to 2009 in the state, also reported a predominance of men, accounting for 86.7% of deaths. Furthermore, a study in Uruguay reported a mortality rate of 86% in male physicians.<sup><xref ref-type="bibr" rid="B18">18</xref></sup></p>
      <p>Just as in the MPop, when the NMPop was analyzed, a predominance of males was detected, which corroborates the study by Oliveira et al.,<sup><xref ref-type="bibr" rid="B9">9</xref></sup> which showed a predominance of deaths from diseases of the circulatory system in males in all Brazilian regions.</p>
      <p>Analysis by age group revealed that a greater number of deaths was found among physicians over the age of 80 years, and about three times more deaths occurred in the age group from 60 to 69 years in comparison with 50 to 59 years, which may be a result of the higher prevalence of CVDs in old age.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> A similar study carried out in the state of S&#227;o Paulo reported that CVDs were responsible for 29.7% of deaths among physicians from 2000 to 2009; of these, 74.8% occurred after the age of 60, with the peak in the age group from 80 to 89 years,<sup><xref ref-type="bibr" rid="B3">3</xref></sup> which reinforces the results of this study. On the other hand, analyzing the NMPop, mortality was higher from 50 years of age on.</p>
      <p>With regard to race, there was a greater number of deaths from CVD among white individuals, followed by brown and black people. This is probably related to ethnic inequality concerning access to higher education in Brazil, with a markedly smaller number of black doctors in the country. These data corroborate the results of studies conducted in S&#227;o Paulo<sup><xref ref-type="bibr" rid="B2">2</xref> , <xref ref-type="bibr" rid="B3">3</xref></sup> and Bahia,<sup><xref ref-type="bibr" rid="B11">11</xref></sup> where a predominance of deaths from CVD among white physicians was shown as well.</p>
      <p>Just as among physicians, more white people died from CVD in the NMPop in Brazil, a fact also revealed by Oliveira et al.,<sup><xref ref-type="bibr" rid="B9">9</xref></sup> These authors also pointed to a higher mortality in the southeast region of the country, which can be explained by the fact that this is the most populous region in Brazil, whose inhabitants are mostly white.<sup><xref ref-type="bibr" rid="B15">15</xref></sup> It was also evidenced that black people died six times more in the NMPop compared to MPop, which may be influenced by the country&#8217;s racial historical context, as it limited work and education opportunities for black individuals and caused Medicine to be a mostly white-people profession.</p>
      <p>Considering the CVD mortality coefficients described in this study, it was evidenced that, from 2014 to 2018, in Brazil, for every 100,000 physicians, approximately 93 died from CVD, and for every 100,000 non-medical people, approximately 255 died from CVD. This means a CVD mortality coefficient in the MPop of almost 1/3 of the NMPop&#8217;s coefficient. This disproportion may be linked to the greater access that this population has to health services. Furthermore, no studies assessing CVD mortality coefficients between physicians and non-physicians in Brazil were found. Existing studies have compared the overall mortality coefficient between the two populations and, similarly, found lower levels of mortality in the MPop compared to the general population.<sup><xref ref-type="bibr" rid="B1">1</xref> , <xref ref-type="bibr" rid="B11">11</xref> , <xref ref-type="bibr" rid="B20">20</xref></sup></p>
      <p>Over the five years analyzed, no fluctuations were observed in CVD mortality coefficients between physicians and non-physicians. This differs from studies that have analyzed all causes of death between the two populations,<sup><xref ref-type="bibr" rid="B11">11</xref></sup> or studies that assessed CVD mortality in the general Brazilian population.<sup><xref ref-type="bibr" rid="B21">21</xref></sup> This discrepancy may be explained by the short period of analysis in our study, in which there were no major changes in the number of inhabitants each year, neither among physicians nor non-physicians.</p>
      <p>As the Brazilian population ages, exposure to death from CVD increases, due to a higher risk of diseases affecting the circulatory system. Thus, when assessing the main causes of death from CVD in both populations from 2014 to 2018 AMI ranked first, confirming other studies.<sup><xref ref-type="bibr" rid="B1">1</xref> , <xref ref-type="bibr" rid="B19">19</xref> , <xref ref-type="bibr" rid="B21">21</xref> , <xref ref-type="bibr" rid="B22">22</xref></sup> However, the present study showed that the MPop was more affected by AMI, despite this group having greater knowledge about the disease and how to prevent it. It is assumed that an exhausting workload leads physicians to neglect their medical needs (e.g., diabetes mellitus, hypertension, and stress) and adopt bad lifestyle habits, such as sedentariness, poor diet, tobacco smoking, and alcohol or drug use, which are risk factors for several CVDs,<sup><xref ref-type="bibr" rid="B1">1</xref> , <xref ref-type="bibr" rid="B3">3</xref></sup> mainly AMI. This hypothesis still needs to be confirmed through studies with primary data and prospective design.</p>
      <p>Ranking second among the causes of deaths from CVD, CVA caused twice as many deaths in the NMPop compared to the MPop. Because of this finding, it is suggested that the early diagnosis of CVA favors the survival of physicians, as they are more familiarized with the clinical signs of stroke and have easier and quicker access to cranial computed tomography, differently from the rest of the population. The third most prevalent cause of death from CVD was different between the MPop and the NMPop. Systemic arterial hypertension (SAH) ranked third in the NMPop and only tenth in the MPop, and atherosclerotic heart disease ranked third among physicians, and tenth among non-physicians. This may be explained by the fact that SAH is an asymptomatic disease in its initial stage,<sup><xref ref-type="bibr" rid="B22">22</xref></sup> and could be diagnosed earlier in physicians due to their greater access to information and diagnostic means in the health system. In contrast, NMPop are likely to suffer a lack of accurate diagnosis of CVD and consequent underreporting. Also, due to factors previously mentioned, the poor quality of life of physicians makes them more prone to develop more severe atherosclerotic heart disease.</p>
      <p>Finally, two potential limitations of the study should be addressed. First, since this is a retrospective research based on secondary data, there is a possibility of death underreporting and inaccuracy regarding the cause of death from CVD in the death certificates. Second, selection of the ICD codes was manually made based on the interest of the study, and not restricted to ICD-10 I00 to I99, as proposed by the Brazilian Society of Cardiology.<sup><xref ref-type="bibr" rid="B19">19</xref></sup></p>
    </sec>
    <sec sec-type="conclusions">
      <title>Conclusion</title>
      <p>In Brazil, mortality from CVD among physicians was more prevalent in white elderly males, and mainly caused by AMI and CVA. Additionally, it was shown that being a male doctor, over 60 years of age, represents a greater chance of dying from CVD compared to non-physicians. Nonetheless, the CVD mortality coefficient of the medical population was significantly lower than that of the non-medical population. Given the relevance of the topic, these data point to the need for further prospective studies on medical mortality from CVD in Brazil.</p>
    </sec>
  </body>
  <back>
    <fn-group>
      <fn fn-type="supported-by" id="fn1">
        <p>
          <bold>Sources of Funding</bold>
        </p>
        <p>There were no external funding sources for this study.</p>
      </fn>
      <fn fn-type="other" id="fn2">
        <p>
          <bold>Study Association</bold>
        </p>
        <p>This study is not associated with any thesis or dissertation work.</p>
      </fn>
      <fn fn-type="other" id="fn3">
        <p>
          <bold>Ethics approval and consent to participate</bold>
        </p>
        <p>This article does not contain any studies with human participants or animals performed by any of the authors.</p>
      </fn>
    </fn-group>
    <ack>
      <title>Acknowledgment</title>
      <p>The authors thank Everaldo Freitas Guedes for their statistical support.</p>
    </ack>
    <ref-list>
      <title>References</title>
      <ref id="B1">
        <label>1</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Pompermaier</surname>
              <given-names>JA</given-names>
            </name>
            <name>
              <surname>Bertoncini</surname>
              <given-names>R</given-names>
            </name>
          </person-group>
          <article-title>Mortalidade de m&#233;dicos em Santa Catarina</article-title>
          <source>Rev CREMESC</source>
          <year>2011</year>
          <volume>114</volume>
          <fpage>8</fpage>
          <lpage>11</lpage>
        </element-citation>
        <mixed-citation>1 Pompermaier JA, Bertoncini R. Mortalidade de m&#233;dicos em Santa Catarina. Rev CREMESC 2011;114:8-11.</mixed-citation>
      </ref>
      <ref id="B2">
        <label>2</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Sanchez</surname>
              <given-names>ZM</given-names>
            </name>
            <name>
              <surname>Alves</surname>
              <given-names>HNP</given-names>
            </name>
            <name>
              <surname>Nogueira-Martins</surname>
              <given-names>LA</given-names>
            </name>
            <name>
              <surname>Prado</surname>
              <given-names>MCO</given-names>
            </name>
          </person-group>
          <article-title>Estudo da mortalidade dos m&#233;dicos no Estado de S&#227;o Paulo, Brasil, no per&#237;odo 2000-2009</article-title>
          <source>Cad Sa&#250;de P&#250;blica</source>
          <year>2013</year>
          <volume>29</volume>
          <issue>7</issue>
          <fpage>1461</fpage>
          <lpage>1466</lpage>
          <pub-id pub-id-type="doi">10.1590/s0102-311x2013000700019</pub-id>
        </element-citation>
        <mixed-citation>2 Sanchez ZM, Alves HNP, Nogueira-Martins LA, Prado MCO. Estudo da mortalidade dos m&#233;dicos no Estado de S&#227;o Paulo, Brasil, no per&#237;odo 2000-2009. Cad Sa&#250;de P&#250;blica. 2013;29(7):1461-6. doi: 10.1590/s0102-311x2013000700019.</mixed-citation>
      </ref>
      <ref id="B3">
        <label>3</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <collab>CREMESP</collab>
          </person-group>
          <source>Estudo da mortalidade dos m&#233;dicos no estado de S&#227;o Paulo: tend&#234;ncias de uma d&#233;cada (2000-2009)</source>
          <publisher-loc>S&#227;o Paulo</publisher-loc>
          <publisher-name>Conselho Regional de Medicina do Estado de S&#227;o Paulo</publisher-name>
          <year>2012</year>
          <date-in-citation content-type="access-date">[citado 2020 Apbril 01]</date-in-citation>
          <comment>Available from: <ext-link ext-link-type="uri" xlink:href="https://www.cremesp.org.br/pdfs/Mortalidade%20v%20220312.pdf">https://www.cremesp.org.br/pdfs/Mortalidade%20v%20220312.pdf</ext-link> </comment>
        </element-citation>
        <mixed-citation>3 CREMESP. Estudo da mortalidade dos m&#233;dicos no estado de S&#227;o Paulo: tend&#234;ncias de uma d&#233;cada (2000-2009). S&#227;o Paulo: Conselho Regional de Medicina do Estado de S&#227;o Paulo; 2012. [citado 2020 Apbril 01] Available from: <ext-link ext-link-type="uri" xlink:href="https://www.cremesp.org.br/pdfs/Mortalidade%20v%20220312.pdf">https://www.cremesp.org.br/pdfs/Mortalidade%20v%20220312.pdf</ext-link>.</mixed-citation>
      </ref>
      <ref id="B4">
        <label>4</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <name>
              <surname>Barbosa</surname>
              <given-names>GA</given-names>
            </name>
            <name>
              <surname>Andrade</surname>
              <given-names>EO</given-names>
            </name>
            <name>
              <surname>Carneiro</surname>
              <given-names>MB</given-names>
            </name>
            <name>
              <surname>Gouveia</surname>
              <given-names>VV</given-names>
            </name>
          </person-group>
          <source>A sa&#250;de dos m&#233;dicos do Brasil</source>
          <publisher-loc>Bras&#237;lia (DF)</publisher-loc>
          <publisher-name>Conselho Federal de Medicina</publisher-name>
          <year>2007</year>
        </element-citation>
        <mixed-citation>4 Barbosa GA, Andrade EO, Carneiro MB, Gouveia VV. A sa&#250;de dos m&#233;dicos do Brasil. Bras&#237;lia (DF): Conselho Federal de Medicina; 2007.</mixed-citation>
      </ref>
      <ref id="B5">
        <label>5</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <name>
              <surname>Barros</surname>
              <given-names>PJP</given-names>
            </name>
          </person-group>
          <chapter-title>Uma revis&#227;o da literatura cient&#237;fica acerca das caracter&#237;sticas epidemiol&#243;gicas e cl&#237;nicas pr&#243;prias da classe m&#233;dica</chapter-title>
          <source>[tese]</source>
          <publisher-loc>Portugal</publisher-loc>
          <publisher-name>Faculdade de Medicina da Universidade de Coimbra</publisher-name>
          <year>2015</year>
          <date-in-citation content-type="access-date">[citado 2020 Abril12]</date-in-citation>
          <comment>Available from: <ext-link ext-link-type="uri" xlink:href="http://hdl.handle.net/10316/30678">http://hdl.handle.net/10316/30678</ext-link> </comment>
        </element-citation>
        <mixed-citation>5 Barros PJP. Uma revis&#227;o da literatura cient&#237;fica acerca das caracter&#237;sticas epidemiol&#243;gicas e cl&#237;nicas pr&#243;prias da classe m&#233;dica. [tese]. Portugal: Faculdade de Medicina da Universidade de Coimbra; 2015. [citado 2020 Abril12] Available from: <ext-link ext-link-type="uri" xlink:href="http://hdl.handle.net/10316/30678">http://hdl.handle.net/10316/30678</ext-link>.</mixed-citation>
      </ref>
      <ref id="B6">
        <label>6</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Dioguardi</surname>
              <given-names>GS</given-names>
            </name>
            <name>
              <surname>Pimenta</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Knoplich</surname>
              <given-names>J</given-names>
            </name>
            <name>
              <surname>Ghorayeb</surname>
              <given-names>N</given-names>
            </name>
            <name>
              <surname>Ramos</surname>
              <given-names>LR</given-names>
            </name>
            <name>
              <surname>Giannini</surname>
              <given-names>SD</given-names>
            </name>
          </person-group>
          <article-title>Fatores de risco para doen&#231;as cardiovasculares em m&#233;dicos: dados preliminares do projeto VIDAM da APM</article-title>
          <source>Arq Bras Cardiol</source>
          <year>1994</year>
          <volume>62</volume>
          <issue>6</issue>
          <fpage>383</fpage>
          <lpage>388</lpage>
          <comment>PMID: 7826227</comment>
        </element-citation>
        <mixed-citation>6 Dioguardi GS, Pimenta J, Knoplich J, Ghorayeb N, Ramos LR, Giannini SD. Fatores de risco para doen&#231;as cardiovasculares em m&#233;dicos: dados preliminares do projeto VIDAM da APM. Arq Bras Cardiol.1994;62(6):383-8. PMID: 7826227</mixed-citation>
      </ref>
      <ref id="B7">
        <label>7</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Lanas</surname>
              <given-names>F</given-names>
            </name>
            <name>
              <surname>Avezum</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Bautista</surname>
              <given-names>LE</given-names>
            </name>
            <name>
              <surname>Diaz</surname>
              <given-names>R</given-names>
            </name>
            <name>
              <surname>Luna</surname>
              <given-names>M</given-names>
            </name>
            <name>
              <surname>Islam</surname>
              <given-names>S</given-names>
            </name>
            <etal/>
          </person-group>
          <article-title>Risk factors for acute myocardial infarction in Latin America: the INTERHEART Latin American Study</article-title>
          <source>Rev Bras Hipertens</source>
          <year>2007</year>
          <volume>14</volume>
          <issue>4</issue>
          <fpage>278</fpage>
          <lpage>279</lpage>
        </element-citation>
        <mixed-citation>7 Lanas F, Avezum A, Bautista LE, Diaz R, Luna M, Islam S, et al. Risk factors for acute myocardial infarction in Latin America: the INTERHEART Latin American Study. Rev Bras Hipertens. 2007;14(4):278-9.</mixed-citation>
      </ref>
      <ref id="B8">
        <label>8</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <collab>OPAS/OMS</collab>
          </person-group>
          <source>Doen&#231;as cardiovasculares [Internet]</source>
          <publisher-loc>Bras&#237;lia (DF)</publisher-loc>
          <year>2017</year>
          <date-in-citation content-type="access-date">[Citado 2020 Apr 01]</date-in-citation>
          <comment>Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5253:doencas-cardiovasculares&amp;Itemid=1096">https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5253:doencas-cardiovasculares&amp;Itemid=1096</ext-link> </comment>
        </element-citation>
        <mixed-citation>8 OPAS/OMS. Doen&#231;as cardiovasculares [Internet]. Bras&#237;lia (DF); 2017. [Citado 2020 Apr 01]. Dispon&#237;vel em:<ext-link ext-link-type="uri" xlink:href="https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5253:doencas-cardiovasculares&amp;Itemid=1096">https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5253:doencas-cardiovasculares&amp;Itemid=1096</ext-link> </mixed-citation>
      </ref>
      <ref id="B9">
        <label>9</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Oliveira</surname>
              <given-names>SG</given-names>
            </name>
            <name>
              <surname>Gotto</surname>
              <given-names>JRF</given-names>
            </name>
            <name>
              <surname>Spaziani</surname>
              <given-names>AO</given-names>
            </name>
            <name>
              <surname>Frota</surname>
              <given-names>RS</given-names>
            </name>
            <name>
              <surname>Souza</surname>
              <given-names>MAG</given-names>
            </name>
            <name>
              <surname>Freitas</surname>
              <given-names>CJ</given-names>
            </name>
            <etal/>
          </person-group>
          <article-title>Doen&#231;as do aparelho circulat&#243;rio no Brasil de acordo com dados do Datasus: um estudo no per&#237;odo de 2013 a 2018</article-title>
          <source>Braz J Health Rev</source>
          <year>2020</year>
          <volume>3</volume>
          <issue>1</issue>
          <fpage>832</fpage>
          <lpage>846</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.34119/bjhrv3n1-066">https://doi.org/10.34119/bjhrv3n1-066</ext-link>
          </comment>
        </element-citation>
        <mixed-citation>9 Oliveira SG, Gotto JRF, Spaziani AO, Frota RS, Souza MAG, Freitas CJ, et al. Doen&#231;as do aparelho circulat&#243;rio no Brasil de acordo com dados do Datasus: um estudo no per&#237;odo de 2013 a 2018. Braz J Health Rev. 2020;3(1):832-46. DOI: <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.34119/bjhrv3n1-066">https://doi.org/10.34119/bjhrv3n1-066</ext-link> </mixed-citation>
      </ref>
      <ref id="B10">
        <label>10</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <collab>OPAS/OMS</collab>
          </person-group>
          <source>As dez principais causas de morte no mundo [Internet]</source>
          <publisher-loc>Bras&#237;lia (DF)</publisher-loc>
          <year>2017</year>
          <date-in-citation content-type="access-date">[citado em 2020 Abr 01]</date-in-citation>
          <comment>Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5638:10-principais-causas-de-morte-no-mundo&amp;Itemid=0">https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5638:10-principais-causas-de-morte-no-mundo&amp;Itemid=0</ext-link> </comment>
        </element-citation>
        <mixed-citation>10 OPAS/OMS. As dez principais causas de morte no mundo [Internet]. Bras&#237;lia (DF): 2017. [citado em 2020 Abr 01]. Dispon&#237;vel em:<ext-link ext-link-type="uri" xlink:href="https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5638:10-principais-causas-de-morte-no-mundo&amp;Itemid=0">https://www.paho.org/bra/index.php?option=com_content&amp;view=article&amp;id=5638:10-principais-causas-de-morte-no-mundo&amp;Itemid=0</ext-link> </mixed-citation>
      </ref>
      <ref id="B11">
        <label>11</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Dantas</surname>
              <given-names>JVS</given-names>
            </name>
            <name>
              <surname>Fukutani</surname>
              <given-names>KF</given-names>
            </name>
            <name>
              <surname>Rossi</surname>
              <given-names>EA</given-names>
            </name>
            <name>
              <surname>Quintanilha</surname>
              <given-names>LF</given-names>
            </name>
          </person-group>
          <article-title>Estudo da mortalidade dos m&#233;dicos no estado da Bahia, Brasil, no per&#237;odo 2008-2017</article-title>
          <source>Semin&#225;rio Estudantil de Produ&#231;&#227;o Acad&#234;mica</source>
          <year>2019</year>
          <volume>18</volume>
          <fpage>1</fpage>
          <lpage>13</lpage>
        </element-citation>
        <mixed-citation>11 Dantas JVS, Fukutani KF, Rossi EA, Quintanilha LF. Estudo da mortalidade dos m&#233;dicos no estado da Bahia, Brasil, no per&#237;odo 2008-2017. Semin&#225;rio Estudantil de Produ&#231;&#227;o Acad&#234;mica. 2019; 18:1-13.</mixed-citation>
      </ref>
      <ref id="B12">
        <label>12</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <collab>CONSELHO FEDERAL DE MEDICINA</collab>
          </person-group>
          <chapter-title>Considera&#231;&#245;es sobre o Programa Mais M&#233;dicos</chapter-title>
          <source>[Internet]</source>
          <publisher-loc>Brasil</publisher-loc>
          <year>2018</year>
          <date-in-citation content-type="access-date">[citado 2020 Abril 14]</date-in-citation>
          <comment>Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://portal.cfm.org.br/images/PDF/2018_pesquisa_maismedicos.pdf">https://portal.cfm.org.br/images/PDF/2018_pesquisa_maismedicos.pdf</ext-link> </comment>
        </element-citation>
        <mixed-citation>12 CONSELHO FEDERAL DE MEDICINA. Considera&#231;&#245;es sobre o Programa Mais M&#233;dicos. [Internet]. Brasil; 2018. [citado 2020 Abril 14]. Dispon&#237;vel em:<ext-link ext-link-type="uri" xlink:href="https://portal.cfm.org.br/images/PDF/2018_pesquisa_maismedicos.pdf">https://portal.cfm.org.br/images/PDF/2018_pesquisa_maismedicos.pdf</ext-link> </mixed-citation>
      </ref>
      <ref id="B13">
        <label>13</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <collab>CONSELHO FEDERAL DE MEDICINA</collab>
          </person-group>
          <source>N&#250;mero de m&#233;dicos [Internet]</source>
          <publisher-loc>Brasil</publisher-loc>
          <year>2020</year>
          <date-in-citation content-type="access-date">[citado 2020 Abr 01]</date-in-citation>
          <comment>Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://portal.cfm.org.br/numero-de-medicos/">https://portal.cfm.org.br/numero-de-medicos/</ext-link> </comment>
        </element-citation>
        <mixed-citation>13 CONSELHO FEDERAL DE MEDICINA. N&#250;mero de m&#233;dicos [Internet]. Brasil; 2020. [citado 2020 Abr 01]. Dispon&#237;vel em:<ext-link ext-link-type="uri" xlink:href="https://portal.cfm.org.br/numero-de-medicos/">https://portal.cfm.org.br/numero-de-medicos/</ext-link> </mixed-citation>
      </ref>
      <ref id="B14">
        <label>14</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <collab>Brasil</collab>
          </person-group>
          <article-title>Minist&#233;rio da Sa&#250;de</article-title>
          <source>Departamento de inform&#225;tica do SUS (DATASUS). Sistema de informa&#231;&#245;es sobre mortalidade</source>
          <date-in-citation content-type="access-date">[citado 2020 Abr 14]</date-in-citation>
          <comment>Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://tabnet.datasus.gov.br">tabnet.datasus.gov.br</ext-link> </comment>
        </element-citation>
        <mixed-citation>14 Brasil. Minist&#233;rio da Sa&#250;de. Departamento de inform&#225;tica do SUS (DATASUS). Sistema de informa&#231;&#245;es sobre mortalidade. [citado 2020 Abr 14]. Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://tabnet.datasus.gov.br">tabnet.datasus.gov.br</ext-link></mixed-citation>
      </ref>
      <ref id="B15">
        <label>15</label>
        <element-citation publication-type="book">
          <person-group person-group-type="author">
            <collab>INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATISTICA. (IBGE)</collab>
          </person-group>
          <source>Estat&#237;sticas da popula&#231;&#227;o [Internet]</source>
          <publisher-loc>Brasil</publisher-loc>
          <year>2019</year>
          <date-in-citation content-type="access-date">[citado em 2020 abril 14]</date-in-citation>
          <comment>Dispon&#237;vel em: <ext-link ext-link-type="uri" xlink:href="https://www.ibge.gov.br/estatisticas/sociais/populacao.html">https://www.ibge.gov.br/estatisticas/sociais/populacao.html</ext-link> </comment>
        </element-citation>
        <mixed-citation>15 INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATISTICA. (IBGE) Estat&#237;sticas da popula&#231;&#227;o [Internet]. Brasil; 2019. [citado em 2020 abril 14]; Dispon&#237;vel em:<ext-link ext-link-type="uri" xlink:href="https://www.ibge.gov.br/estatisticas/sociais/populacao.html">https://www.ibge.gov.br/estatisticas/sociais/populacao.html</ext-link> </mixed-citation>
      </ref>
      <ref id="B16">
        <label>16</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Newcombe</surname>
              <given-names>RG</given-names>
            </name>
          </person-group>
          <article-title>Two-sided confidence intervals for the single proportion: comparison of seven</article-title>
          <source>Methods. Stat Med</source>
          <year>1998</year>
          <volume>17</volume>
          <issue>8</issue>
          <fpage>857</fpage>
          <lpage>872</lpage>
          <pub-id pub-id-type="doi">10.1002/(sici)1097-0258(19980430)17:8&lt;857::aid-sim777&gt;3.0.co;2-e</pub-id>
        </element-citation>
        <mixed-citation>16 Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven. Methods. Stat Med. 1998;17(8):857&#8211;72. doi: 10.1002/(sici)1097-0258(19980430)17:8&lt;857::aid-sim777&gt;3.0.co;2-e.</mixed-citation>
      </ref>
      <ref id="B17">
        <label>17</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Newcombe</surname>
              <given-names>RG</given-names>
            </name>
          </person-group>
          <article-title>Interval estimation for the difference between independent proportions: comparison of eleven methods</article-title>
          <source>Stat Med</source>
          <year>1998</year>
          <volume>17</volume>
          <issue>8</issue>
          <fpage>873</fpage>
          <lpage>890</lpage>
          <pub-id pub-id-type="doi">10.1002/(sici)1097-0258(19980430)17:8&lt;873::aid-sim779&gt;3.0.co;2-i</pub-id>
        </element-citation>
        <mixed-citation>17 Newcombe RG. Interval estimation for the difference between independent proportions: comparison of eleven methods. Stat Med. 1998;17(8):873&#8211;90. doi: 10.1002/(sici)1097-0258(19980430)17:8&lt;873::aid-sim779&gt;3.0.co;2-i.</mixed-citation>
      </ref>
      <ref id="B18">
        <label>18</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Turnes</surname>
              <given-names>AL</given-names>
            </name>
            <name>
              <surname>Ciriacos</surname>
              <given-names>CM</given-names>
            </name>
            <name>
              <surname>Rodr&#237;guez Almada</surname>
              <given-names>H</given-names>
            </name>
          </person-group>
          <article-title>Mortalidad de los m&#233;dicos enUruguay (primera parte) 1974-2002</article-title>
          <source>Caracter&#237;sticas demogr&#225;ficas. Rev. m&#233;d. Urug</source>
          <year>2003</year>
          <volume>19</volume>
          <issue>3</issue>
          <fpage>216</fpage>
          <lpage>224</lpage>
        </element-citation>
        <mixed-citation>18 Turnes AL, Ciriacos CM, Rodr&#237;guez Almada H. Mortalidad de los m&#233;dicos enUruguay (primera parte) 1974-2002. Caracter&#237;sticas demogr&#225;ficas. Rev. m&#233;d. Urug. 2003;19(3):216-24.</mixed-citation>
      </ref>
      <ref id="B19">
        <label>19</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Oliveira</surname>
              <given-names>GM</given-names>
            </name>
            <name>
              <surname>Brant</surname>
              <given-names>LC</given-names>
            </name>
            <name>
              <surname>Polanczyk</surname>
              <given-names>CA</given-names>
            </name>
            <name>
              <surname>Biolo</surname>
              <given-names>A</given-names>
            </name>
            <name>
              <surname>Nascimento</surname>
              <given-names>BR</given-names>
            </name>
            <name>
              <surname>Malta</surname>
              <given-names>DC</given-names>
            </name>
            <etal/>
          </person-group>
          <article-title>Cardiovascular statistics &#8211; Brazil 2020</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2020</year>
          <volume>115</volume>
          <issue>3</issue>
          <fpage>308</fpage>
          <lpage>439</lpage>
          <pub-id pub-id-type="doi">10.36660/abc.20200812</pub-id>
        </element-citation>
        <mixed-citation>19 Oliveira GM, Brant LC, Polanczyk CA, Biolo A, Nascimento BR, Malta DC, et al. Cardiovascular statistics &#8211; Brazil 2020. Arq Bras Cardiol. 2020;115(3):308-439. doi: 10.36660/abc.20200812.</mixed-citation>
      </ref>
      <ref id="B20">
        <label>20</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Shin</surname>
              <given-names>YC</given-names>
            </name>
            <name>
              <surname>Kang</surname>
              <given-names>JH</given-names>
            </name>
            <name>
              <surname>Kim</surname>
              <given-names>CH</given-names>
            </name>
          </person-group>
          <article-title>Mortality among Medical Doctors Based on the Registered Cause of Death in Korea 1992-2002</article-title>
          <source>J. Prev Med Public Health</source>
          <year>2005</year>
          <volume>38</volume>
          <issue>1</issue>
          <fpage>38</fpage>
          <lpage>44</lpage>
          <comment>PMID: 16312908</comment>
        </element-citation>
        <mixed-citation>20 Shin YC, Kang JH, Kim CH. Mortality among Medical Doctors Based on the Registered Cause of Death in Korea 1992-2002. J. Prev Med Public Health. 2005;38(1):38-44. PMID: 16312908</mixed-citation>
      </ref>
      <ref id="B21">
        <label>21</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Brant</surname>
              <given-names>LC</given-names>
            </name>
            <name>
              <surname>Nascimento</surname>
              <given-names>BR</given-names>
            </name>
            <name>
              <surname>Passos</surname>
              <given-names>VM</given-names>
            </name>
            <name>
              <surname>Duncan</surname>
              <given-names>BB</given-names>
            </name>
            <name>
              <surname>Bensen&#245;r</surname>
              <given-names>IJ</given-names>
            </name>
            <name>
              <surname>Malta</surname>
              <given-names>DC</given-names>
            </name>
          </person-group>
          <article-title>Varia&#231;&#245;es e diferenciais da mortalidade por doen&#231;a cardiovascular no Brasil e em seus estados, em 1990 e 2015: estimativas do Estudo Carga Global de Doen&#231;a</article-title>
          <source>Rev Bras Epidemiol</source>
          <year>2017</year>
          <volume>20</volume>
          <supplement>supl 01</supplement>
          <fpage>116</fpage>
          <lpage>128</lpage>
          <pub-id pub-id-type="doi">10.1590/1980-5497201700050010</pub-id>
        </element-citation>
        <mixed-citation>21 Brant LC, Nascimento BR, Passos VM, Duncan BB, Bensen&#245;r IJ, Malta DC. Varia&#231;&#245;es e diferenciais da mortalidade por doen&#231;a cardiovascular no Brasil e em seus estados, em 1990 e 2015: estimativas do Estudo Carga Global de Doen&#231;a. Rev Bras Epidemiol. 2017;20(supl 01):116-28. doi: 10.1590/1980-5497201700050010.</mixed-citation>
      </ref>
      <ref id="B22">
        <label>22</label>
        <element-citation publication-type="journal">
          <person-group person-group-type="author">
            <name>
              <surname>Malachias</surname>
              <given-names>MVB</given-names>
            </name>
            <name>
              <surname>Souza</surname>
              <given-names>WKSB</given-names>
            </name>
            <name>
              <surname>Plavnik</surname>
              <given-names>FL</given-names>
            </name>
            <name>
              <surname>Rodrigues</surname>
              <given-names>CIS</given-names>
            </name>
            <name>
              <surname>Brand&#227;o</surname>
              <given-names>AA</given-names>
            </name>
            <name>
              <surname>Neves</surname>
              <given-names>MFT</given-names>
            </name>
            <etal/>
          </person-group>
          <article-title>7&#7491; Diretriz Brasileira de Hipertens&#227;o Arterial</article-title>
          <source>Arq Bras Cardiol</source>
          <year>2016</year>
          <volume>107</volume>
          <supplement>3 supl.3</supplement>
          <fpage>1</fpage>
          <lpage>83</lpage>
          <comment>
            <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5935/abc.20160151">https://doi.org/10.5935/abc.20160151</ext-link>
          </comment>
        </element-citation>
        <mixed-citation>22 Malachias MVB, Souza WKSB, Plavnik FL, Rodrigues CIS, Brand&#227;o AA, Neves MFT, et al. 7&#7491; Diretriz Brasileira de Hipertens&#227;o Arterial. Arq Bras Cardiol 2016; 107(3 supl.3):1-83. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5935/abc.20160151">https://doi.org/10.5935/abc.20160151</ext-link> </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
